Enhanced Mobility Aid for the Visually Impaired: An Ultrasonic Sensor and Arduino-Based Smart Walking Stick

Shahzor Memon; Mirza Muhammad Aamir; Sadiq Ur Rehman; Halar Mustafa; Muhammad Shakir Sheikh

doi:10.36561/ING.28.3

Autores/as

Shahzor Memon Hamdard University, Pakisán https://orcid.org/0009-0008-8867-7070
Mirza Muhammad Aamir Hamdard University, Pakistán https://orcid.org/0009-0009-5304-1950
Sadiq Ur Rehman Hamdard University, Pakistán https://orcid.org/0000-0002-6308-450X
Halar Mustafa Hamdard University, Pakistán https://orcid.org/0000-0002-7021-5010
Muhammad Shakir Sheikh Hamdard University, Pakistán https://orcid.org/0009-0005-5902-6461

DOI:

https://doi.org/10.36561/ING.28.3

Palabras clave:

Sensor ultrasónico, Microcontrolador Arduino ATmega328, Ayuda a la movilidad, Persona con discapacidad visual, Sistema de alarmas

Resumen

Este estudio presenta un bastón inteligente para personas ciegas o con problemas de visión que utiliza sensores ultrasónicos con Arduino y Raspberry Pi. La Organización Mundial de la Salud estima que 37 millones de personas en todo el mundo son ciegas. Las personas ciegas o con problemas de visión a menudo dependen de la ayuda de fuentes externas, que pueden venir en forma de humanos, perros que han sido entrenados o dispositivos tecnológicos especializados que desempeñan el papel de sistemas de apoyo a la toma de decisiones. Entonces nos inspiramos para crear un bastón inteligente para superar estas restricciones. Para lograrlo, equipamos el bastón con sensores ultrasónicos en lugares estratégicos que activaban el sonido del timbre mientras brindaban al usuario información sobre los alrededores. Nuestra propuesta era un dispositivo liviano y de bajo costo que utiliza un microcontrolador para interpretar señales y emitir pitidos para notificar a la persona con problemas de visión sobre cualquier obstáculo, agua o lugares oscuros. El sistema consta de sensores de detección de obstáculos y humedad que reciben, procesan y envían señales al sistema de alarma, que luego advierte al usuario para que tome medidas. El sistema fue concebido y programado en C, se probó su precisión y fue revisado por una persona con discapacidad visual. Nuestra tecnología puede identificar obstrucciones a unos 2 metros del usuario.

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